Use of Ontology to Model the Perception of the Environment by a Humanoid Robot

Social robotics is a research area that aims to develop models that allow robots and humans to interact naturally. One of the factors that compromises the evolution of social robotics is the difficulty in integrating cognitive and robotic systems, mainly due to the volume and complexity of the information existing in a dynamic environment. In this work, we are proposing an ontology, named OntPercept, for formalize the communication between the cognitive and robotic systems. Thanks to this ontology is possible to model the environment perception using the information captured by the sensors present in the robotic system. It will be shown that OntPercept simplifies the development, reproduction and comparison of experiments associated with social robotics.